The Australasian Data Mining Conference

3 December 2002, University House, ANU, Canberra

In Conjunction with the 15th
Australian Joint Conference on Artificial Intelligence

Conference Website (this page):


To register for this conference please register for the AI02 conference and include this conference in your registration ($110) or else register just for the conference ($330). Please visit AI02 for details.

The conference will run from 9am to 5pm in the Meeting Room, University House, Australian National Univeristy. This is a pleasant 10-15 minute walk from the conference hotel (Rydges Lakeside). Lunch and morning/afternoon tea is provided for conference registrants.

The Australasian Data Mining Conference is devoted to the art and science of data mining: the analysis of (usually large) data sets to discover relationships and present the data in novel ways that are compact, comprehendible and useful for researchers and practitioners.

The Conference Proceedings are available online and are being published by Springer-Verlag as part of the Lecture Notes in Computer Science series, having been reviewed by an international panel of experts in data mining.

Data mining projects involve both the utilisation of established algorithms from machine learning, statistics, and database systems, and the development of new methods and algorithms, targeted at large data mining problems. Nowadays data mining efforts have gone beyond crunching databases of credit card usage or stored transaction records. They have been focusing on data collected in the health care system, art, design, medicine and biology and other areas of human endeavour.

This conference aims to bring together researchers and industry practitioners from different data mining groups in Australia and the region and to provide a forum for presenting and discussing their latest research and development in the area. The conference will facilitate the cross-disciplinary exchange of ideas.

A key focus of the conference will be on the application domains for data mining, including, but certainly not limited to, Health Services Research, Electronic Market Systems, Environmental Research, Financials.

Topics of interest

The major topics of the conference include but are not limited to

We encourage submissions of `greenhouse' work, which present early stages of a cutting-edge research and development. Software demonstrations are also welcome. The format of the conference will accommodate full paper presentations and short presentations about a work in progress, overview of a data mining group or software demonstration.


The length of the submissions is not restricted. We encourage submissions of 10-15 pages. The first page of your submission should include the paper title; author name(s) and affiliation, address, email; keywords; and abstract. Electronic submissions in either PDF, PS, RTF or Microsoft Word Document format are preferable. Please, e-mail electronic submissions to with subject "AusDM02 Submission".

Peer-reviewed papers, accepted for presentation at the conference will be published in the conference proceedings. Depending on the quality of the papers and presentations, an edited collection of longer contributions, is planned to be published either as a special issue of related journal or as an edited book, under the title "Discovering Data Mining in Australasia".

Important Dates

Conference day: 3 December 2002


Simeon J Simoff University of Technology, Sydney   
Graham J Williams    Togaware
Markus Hegland Australian National University

Program Committee

Sergei Ananyan Megaputer Intelligence   
Rohan Baxter CSIRO Canberra
John Debenham University of Technology, Sydney
Vladimir Estivill-Castro    Giffith University
Eibe Frank University of Waikato
Paul Kennedy University of Technology, Sydney
Inna Kolyshkina Pricewaterhouse Coopers
Kevin Korb Monash University
Xuemin Lin University of NSW
Warwick Graco Health Insurance Commision
Ole Nielsen Australian National University
Tom Osborn NUIX Pty Ltd, and The NTF Group
Chris Rainsford CSIRO Canberra
John Roddick Flinders University
David Skillicorn University of Queens
Dan Steinberg Salford Systems

Further information from or

Last Modified 2004-10-12 19:50:07 graham